PSI - Issue 84

Chiara Bellosguardo et al. / Procedia Structural Integrity 84 (2026) 906–913

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Nevertheless, through suitable assumptions, it was still possible to exploit the available data and carry out preliminary assessments. The statistical analyses conducted on landslides highlighted the most common movement types and hazard classes among those involving bridges. In contrast, the comparison between bridges affected by landslides and those not involved did not reveal distinctive characteristics that would allow the two groups to be clearly separated; however, it was observed that bridges belonging to major road infrastructures exhibit a higher incidence of landslide phenomena compared to other road categories. The correlations identified between bridge characteristics and landslide characteristics were statistically significant but, in most cases, weak. It should also be considered that some correlations involve parameters estimated in an arbitrary manner, such as the magnitude of non-mappable landslides, and therefore may not fully reflect reality. The only correlation that proved to be both significant and robust concerns parameters calculated under scenarios different from the baseline and road type: in particular, the increase in kilometres travelled and travel times for major infrastructures is substantial, especially when combined with the higher incidence of landslide phenomena compared to other road categories. The study therefore proved useful in developing a method that enables the assessment of the characteristics of a large number of bridges and landslides and of the interactions between them. Moreover, it made it possible to highlight both the limitations and the potential of the open-source databases used, as well as of the assumptions adopted. Based on field inspections, it will be possible to integrate the information derived from the databases and to confirm or further investigate the statistical analyses in order to identify additional relationships among the variables. Acknowledgements This study was supported by FABRE - “Research consortium for the evaluation and monitoring of bridges, viaducts and other structures” (www.consorziofabre.it/en). Any opinion expressed in the paper does not necessarily reflect the view of the founder. We acknowledge financial support for the PhD scholarship of Fabiola Gibin provided by the European Union – NextGenerationEU (National Recovery and Resilience Plan – NRRP, Mission 4, Component 1, Investment 4.1 – D. M. 118/2023, CUP C96E23000880001). References Gabrieli, F., Gibin, F., Brezzi, L., Mangraviti, V., Cernuto, E., Lupattelli, A., Salciarini, D., Mammoliti, E., Dezi, F., Stacul, S., Squeglia, N., Doglioni, A., Simeone, V., Simonini, P., 2025. Understanding Landslide-Bridge Interactions through a Comprehensive Analysis of a Global Case Study Database. 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